History of Blues and Automatic Generation with Clojure
BLUES
Blues is one of the roots of modern popular music and one of the genres that play an important role, be...
Clojure
Examples of Wireless IOT Control Implementations in Various Languages
Wireless IOT Control
Typically, IoT devices are small devices with sensors and actuators, and use wi...
Overview of Case-Based Reasoning, Applications and Implementations
Overview of Case-Based Reasoning
Case-based reasoning is a method of finding appropriate solutions ...
Overview of generalized linear models and their implementation in various languages
Generalized Linear Model Overview
The Generalized Linear Model (GLM) is a statistical modeling and machin...
How to create code development environments in various languages
How to create code development environments in various languages
In order to program, it is necessar...
Examples of iteration and branching implementations in various languages
summary
Among programming languages, the basic functionality is one element of the three functions of stru...
Clojure, Type System and SPEC
Type systems and statically/dynamically typed languages
In programming languages, the type system describes t...
Overview of Petri-net technology and its combination with artificial intelligence technology and various implementations
Petri Net Overview
Petri nets are a descriptive model of discrete event systems proposed by Petri in 1962...
Overview of web crawling technologies and implementation in Python/Clojure
Overview of web crawling technologies used for digital transformation, artificial intelligence and machine learning tasks and their implementation in Python/Clojure jsoup, clj-http, enlive, clojure.data.json, HTML, CSS jsoup, HTML, CSS, XPATH, JSON, BeautifulSoup, Scrapy, data extraction, natural language processing, databases, search, SNS analysis
Protected: Regression analysis using Clojure (1) Single regression model
Regression analysis using Clojure for digital transformation, artificial intelligence, and machine learning tasks (1) Single regression model (coefficient of determination R2, correlation coefficient R, variance of residuals, variance, mean square error, explanatory variables, goodness of fit, linear regression model, dependent variable, independent variable, modeling error, heteroscedasticity, residual plot, regression line function, linear equation, regression model,incanter)